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ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI in Test Automation | - AI-based defect prediction and analytics - AI-supported test generation |
| Testing AI-Based Systems | - Testing ML models - Data quality and dataset validation - Bias, fairness, and explainability testing |
| AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Introduction to AI in Software Testing | - AI systems overview - Role of AI in testing |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question 1
Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION
A. Aspects II, III and IV
B. Aspects III, IV, and V
C. Aspects I, IV, and V
D. Aspects I, II, and III
Question 2
A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
SELECT ONE OPTION
A. Reinforcement learning
B. Regression
C. Clustering
D. Classification
Question 3
Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?
SELECT ONE OPTION
A. A fully automated manufacturing plant that uses no software.
B. A system that utilizes a tool like Selenium.
C. A system that is fully able to respond to its environment.
D. A system that utilizes human beings for all important decisions.
Question 4
Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION
A. Test the model during model evaluation for data bias.
B. Testing the data pipeline for any sources for algorithmic bias.
C. Check the input test data for potential sample bias.
D. Testing the distribution shift in the training data for inappropriate bias.
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A |






